SequoiaAT helped an industrial client modernize supervisory control with a modular decision engine, real time alarms, and edge aware logging. The result is a reliable platform that scales with new devices and logic.
Leader in industrial automation with complex equipment lines and strict uptime goals.
Process continuous telemetry from pressure and temperature sensors and generator equipment.
Respond to environmental and operational changes through configurable control logic.
Provide real time alarm visibility with operator acknowledgment.
Support modular expansion through a microservice based architecture and backend integration.
Improve traceability with durable event logging and historical analysis for audits and diagnostics.
Increase resiliency with edge level persistence under intermittent connectivity.
Comprehensive review of data ingestion paths and time series storage. Modularized existing code for maintainability and scale.
Central decision engine based on a configurable state machine. Evaluates thresholds, timers, and combined equipment states to trigger actions and alerts.
Web dashboard for active alarms prioritized by severity with acknowledgment flows. Backend services log structured events into time series storage and support simulation based testing.
Collects data from sensors and devices with local persistence for resiliency.
Low latency links connect devices to the supervisory engine.
State aware evaluation of readings and device states to drive control actions.
Real time alarms with operator in the loop and structured event logging.
Live status and alarm management with role based access.
Time series storage for analysis and compliance.
Reduces manual intervention with intelligent rule based decisions.
Delivers live insights and actionable alarms to operators.
Persists system states and actions for diagnostics and audits.
Microservice design supports future devices and logic without rework.
Bridges physical devices with cloud and application layers.